code: def c2_msra_fill(layer):
      n = (
          layer._kernel_size[0]
          * layer._kernel_size[1]
          * layer._out_channels
      )
      param_init.normal_init(layer.weight, std=math.sqrt(2.0 / n))
      if layer.bias is not None:
          param_init.constant_init(layer.bias, value=0)
  
file_path: PaddleSeg/contrib/PanopticSeg/paddlepanseg/models/param_init.py
imports: import math
  import paddle
  from paddleseg.cvlibs import param_init
label_desc: Use image node_id 2 for calling a global function with example usage: c2_msra_fill(layer) without return types